KAGRA Detector Characterization

Slides:



Advertisements
Similar presentations
For the Collaboration GWDAW 2005 Status of inspiral search in C6 and C7 Virgo data Frédérique MARION.
Advertisements

LIGO-G D 1 Toward Enabling Co-Located Interferometric Detectors to Provide Upper Limits on the Stochastic Gravitational Wave Background Nick Fotopoulos,
The Operating System. What is an Operating System? The software which makes it possible for you to use your computer The software which starts up when.
MICE Electronics & DAQ P J Smith University of Sheffield.
CMS ECAL Prompt Feedback Group Toyoko J. Orimoto, California Institute of Technology A Brief History: From GRUMM to First BeamThe Future of the ECAL PFG.
GLAST LAT Project Online Peer Review – July 20, Integration and Test R. Claus 1 GLAST Large Area Telescope: I&T Integration Readiness Review.
AXIS Camera Station Comprehensive video management software for monitoring, recording, playback and event management.
Maintaining and Updating Windows Server 2008
Burst noise investigation for cryogenic GW detector Hiroshima U. NAOJ Daisuke TATSUMI 3rd Symposium ‐ New Development in Astrophysics through.
Burst noise investigation for cryogenic GW detector TITECH NAOJ Daisuke TATSUMI 2nd Symposium ‐ New Development in Astrophysics through Multi-messenger.
LIGO-G E ITR 2003 DMT Sub-Project John G. Zweizig LIGO/Caltech Argonne, May 10, 2004.
Detector Characterization in GEO 600 by Alicia M. Sintes-Olives on behalf of the GEO-DC team Universitat de les Illes Balears
SOFTWARE & COMPUTING Durga Rajaram MICE PROJECT BOARD Nov 24, 2014.
D Q 19 March. 2008LSC-Virgo meeting1 Status of Data Quality in Virgo D. Verkindt, LAPP-CNRS on behalf of the Virgo DQ team (M. Bizouard, L. Bosi, S. Chatterji,
LIGO-G Z Detector characterization for LIGO burst searches Shourov K. Chatterji for the LIGO Scientific Collaboration 10 th Gravitational Wave.
Web GIS Commander Technical Presentation. Copyright (C) MCS 2013, All rights reserved. 2 MCS Web GIS Commander is Web-based GIS (Geographical.
LIGO-G9900XX-00-M ITR 2003 DMT Sub-Project John G. Zweizig LIGO/Caltech.
KAGRA Roadmap and Progress Evaluation Assessment S.Miyoki  M.Ando 2012/7/30.
Korean Group 12 th KAGRA face-to-face Meeting August 28, 2015 on behalf Korean Gravitational Wave Group 1.
Tracker data quality monitoring based on event display M.S. Mennea – G. Zito University & INFN Bari - Italy.
LIGO-G D Global Diagnostics and Detector Characterization 9 th Marcel Grossmann Meeting Daniel Sigg, LIGO Hanford Observatory.
Databases in CMS Conditions DB workshop 8 th /9 th December 2003 Frank Glege.
Online Software 8-July-98 Commissioning Working Group DØ Workshop S. Fuess Objective: Define for you, the customers of the Online system, the products.
GWDAW11, Postdam 18th-21th December 2006 E. Cuoco, on behalf of Virgo collaboration 1 “Data quality studies for burst analysis of Virgo data acquired during.
1 Stepping in everyone’s toes ( but for a good cause….) Eduardo do Couto e Silva Software Meeting – January 2001.
Developed by Reneta Barneva, SUNY Fredonia The Process.
Status of coalescing binaries search activities in Virgo GWDAW 11 Status of coalescing binaries search activities in Virgo GWDAW Dec 2006 Leone.
LIGO-G D LSC Meeting Nov An Early Glimpse at the S3 Run Stan Whitcomb (LIGO–Caltech) LIGO Scientific Collaboration Meeting LIGO Hanford.
Franco Carbognani, EGO LSC-Virgo Meeting May 2007 Status and Plans LIGO-G Z Software Management.
D Q 20 Oct. 2007Quality flags, D.Verkindt1 Quality flags in Virgo Data Base D. Verkindt, LAPP On behalf of the Virgo « data quality task force »
Online Monitoring for the CDF Run II Experiment T.Arisawa, D.Hirschbuehl, K.Ikado, K.Maeshima, H.Stadie, G.Veramendi, W.Wagner, H.Wenzel, M.Worcester MAR.
Jan 12, 2009LIGO-G Z1 DMT and NDS2 John Zweizig LIGO/Caltech Ligo PAC, Caltech, Jan 12, 2009.
Korea Workshop May GAE CMS Analysis (Example) Michael Thomas (on behalf of the GAE group)
May 29, 2006 GWADW, Elba, May 27 - June 21 LIGO-G0200XX-00-M Data Quality Monitoring at LIGO John Zweizig LIGO / Caltech.
Detector Characterisation and Optimisation David Robertson University of Glasgow.
1 DAQ.IHEP Beijing, CAS.CHINA mail to: The Readout In BESIII DAQ Framework The BESIII DAQ system consists of the readout subsystem, the.
M. Caprini IFIN-HH Bucharest DAQ Control and Monitoring - A Software Component Model.
January 2010 – GEO-ISC KickOff meeting Christian Gräf, AEI 10 m Prototype Team State-of-the-art digital control: Introducing LIGO CDS.
Maintaining and Updating Windows Server 2008 Lesson 8.
July 7, System and Network Administration: Introduction Abdul Wahid.
Lesson Objectives 1) Review the steps involved in problem solving 2) Review the stages of the System Life Cycle 3) Describe what prototyping is and the.
1 Transnational Partner Search Toolkit Transnationality Contact Points Meeting 30 September Warsaw.
LIGO-G05????-00-Z Detector characterization for LIGO burst searches Shourov K. Chatterji For the LIGO Scientific Collaboration 10 th Gravitational Wave.
THIS MORNING (Start an) informal discussion to -Clearly identify all open issues, categorize them and build an action plan -Possibly identify (new) contributing.
ATLAS Tile Calorimeter Data Quality Assessment and Performance
Development of KAGRA Burst Pipeline
MICE Computing and Software
Software Tango Meeting - May 2011 N. Leclercq on behalf of the SOLEIL Computing Team.
Kazuhiro Yamamoto on behalf of KAGRA collaboration
Status of KAGRA detector characterization
Advanced Virgo Detector Monitoring and Data Quality
Yuta Michimura Department of Physics, University of Tokyo
MICE Collaboration Meeting Saturday 22nd October 2005 Malcolm Ellis
Virgo Status Detector Status Computing Data Analysis status and Plans
Update on the Advanced LIGO PSL Program
Detector Characterization
IEEE Std 1074: Standard for Software Lifecycle
How to Install Quicken Software
Summary of the iKAGRA Run
KAGRA activities in the U.S.
Stochastic background search using LIGO Livingston and ALLEGRO
ورود اطلاعات بصورت غيربرخط
M Ashley - LSC Meeting – LIGO Hanford, 12 Nov 2003
Summary of the iKAGRA Run
Yuta Michimura Department of Physics, University of Tokyo
Status of KAGRA Yuta Michimura on behalf of the KAGRA Collaboration
Status of KAGRA Yuta Michimura on behalf of the KAGRA Collaboration
KAGRA – 3km Cryogenic Laser Interferometer
LIGO Scientific Collaboration - University of Michigan
Yuta Michimura Department of Physics, University of Tokyo
Presentation transcript:

KAGRA Detector Characterization Kazuhiro Hayama (Osaka City University) On behalf of KAGRA Detector Characterization

Interface

Human Resource Chief : Hayama Akutsu, Kaneyama, Kokeyama, Miyakawa, Miyamoto, Ono, Shoda, Ueno,Yamamoto, Yokozawa, Yuzurihara KGWG detchar group(4) FTE : ~ 0.9

Tasks for iKAGRA Commissioning phase To provide diagnostics tools To monitor whether data is normal or not To find correlations between PEM channels. To find non-stationary noise events, oscillations … Support to localize noise sources which prevent KAGRA from reaching the design sensitivity. To supply data quality With cooperation with subsystems, what kinds of EM, channels are needed. Observation phase To provide data quality flags to the GW search group To perform veto analysis using the data quality and multi-variate analysis

Network Offline Detchar Online Detchar By Kanda

DetChar Projects https://github.com/gw-analysis/detector-characterization

Start Monitoring Environmental Activities @ X-end With CRY, NAOJ, ICRR@Kamioka DAQ system Quick Look Webpage

Most of things can be done through Web Open Web site, Ready! Please access the following web and try it. Yamamoto, Hayama, advice from Shoda from experimentalist point of view User name : guest Password : toyamakamioka Data Viewer http://seikai.hep.osaka-cu.ac.jp/~chino/cgi-bin/pastDataViewer.cgi Multi-Channel Analysis (Bruco) http://seikai.hep.osaka-cu.ac.jp/~chino/cgi-bin/multiChannelViewer2.cgi Correlation Analysis (Coherence, Peason) http://seikai.hep.osaka-cu.ac.jp/~chino/cgi-bin/multiChannelViewer.cgi

Monitoring KAGRA Everywhere

Schedule Toward iKAGRA The version of base compilers is frozen in Aug. Base software starts to be installed in the main machines from July. Test of the detchar system in the main machines starts from Aug. Recruit people During iKAGRA Test of analyzed data flow Test of 50 channel monitoring Test of stable operation Noise hunting What kind of channels should be monitored for diagnostics and veto analysis bKAGRA Integrating the experience into the systems. ...

Issue : Human resource Currently, very limited human resource The web based tools help this issue. Hope one of each subsystem learn how to use detchar tools as early as possible